Deep Neural Networks-Based Weight Approximation and Computation Reuse for 2-D Image Classification

Deep Neural Networks-Based Weight Approximation and Computation Reuse for 2-D Image Classification

Deep Neural Networks (DNNs) are computationally and memory intensive, which present a big challenge for hardware, especially for resource-constrained devices such as Internet-of-Things (IoT) nodes. This paper introduces a new method to improve DNNs performance by fusing approximate computing with da...

Full description

Bibliographic Details
Main Authors: Mohammed F. Tolba, Huruy Tekle Tesfai, Hani Saleh, Baker Mohammad, Mahmoud Al-Qutayri
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
DNN
IoT
data reuse
computational reuse
approximate computing
Online Access:https://ieeexplore.ieee.org/document/9740128/

Internet

https://ieeexplore.ieee.org/document/9740128/

Similar Items